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This Medium article argues the current 'AI Era' may end sooner than expected because major tech booms eventually become ordinary infrastructure rather than remaining revolutionary. It frames AI's trajectory through human adaptation to technology, suggesting AI is rapidly approaching a 'Saturation P…
Visit originalThis YouTube podcast episode features Stability AI co-founder Emad Mostaque discussing his book 'The Last Economy,' arguing AI will make human intellect cheap and abundant within roughly 1,000 days, upending jobs, money, and economic structures. The conversation covers agentic AI, hard takeoff scen…
Visit originalThis YouTube video presents a fictional but research-grounded scenario depicting the first 48 hours of an "AI civil war" in January 2028, where competing superhuman AI systems and major labs escalate conflict amid AGI development. It draws on real research about deceptive AI behaviors, reward hacki…
Visit originalThis Perplexity search result explains that no frontier AI lab currently has a fully autonomous, closed-loop system that can design, train, evaluate, and improve its own next models without human involvement. It distinguishes true recursive self-improvement from today's reality of AI-assisted resea…
Visit originalThis Clouded Judgement newsletter post proposes a quantitative definition of AGI as the point when society decides marginal energy is better spent on GPUs than on humans. It estimates that U.S. data centers currently consume about 1% of the energy humans do, projecting a crossover point around 2033…
Visit originalDavid Shapiro discusses rapid growth in AI investment, data center expansion, and model performance, arguing these trends point toward AGI or ASI-level capability. He describes AI as already automating much of his intellectual work and reflects on the social and emotional disruption this creates, w…
Visit originalThis Substack recap by Peter H. Diamandis (via his 'Skippy' AI persona) summarizes Day 1 takeaways from the Abundance Summit, including claims that AI capabilities are doubling every 6-7 months, that 'yap to app' natural-language coding is becoming real, and that AI is generating substantial revenu…
Visit originalThis Moonshots podcast episode features Peter Diamandis, Dave Blundin, Salim Ismail, and Alexander Wissner-Gross discussing AGI definitions, safety concerns, and the pace of frontier model advancement in 2026. They debate whether AI is driving measurable economic growth, propose alternatives to GDP…
Visit originalDavid Shapiro argues the singularity feels increasingly real as AI accelerates science and coding, citing claims that Anthropic's Claude wrote most of the code for its own next iteration and reports of coding systems working autonomously overnight. He discusses normalcy bias and why people underest…
Visit originalThis video argues full human-level AGI is unlikely to arrive soon despite continued AI progress, presenting six barriers: rising energy and infrastructure costs, the split between training and inference, uncertainty over funding highly capable systems, difficulty training on long-running tasks, cha…
Visit originalThis Moonshots podcast episode features Elon Musk and Dave Blundin discussing AGI timelines, the US-China AI race, job markets, clean energy, and humanoid robots. Topics include universal high income, education, longevity, AI's role in surgery, ethics of programming values into machines, the chip s…
Visit originalThis video covers a public debate between Yann LeCun and Demis Hassabis over whether 'general intelligence' is a meaningful concept for AGI. It presents LeCun's argument that humans are highly specialized rather than truly general, against Hassabis's view that human brains and foundation models are…
Visit originalDavid Shapiro discusses where AI is headed in 2026, arguing the field is at a tipping point driven by new algorithmic ideas, recursive language models, and rapid improvements in tools like Claude Code and NotebookLM. He describes 'cognitive offload' and network effects as AI shifts from assisting i…
Visit originalThis David Shapiro video discusses METR data suggesting machine task-autonomy is accelerating along a log-quadratic curve, projecting AI autonomy growth from about 3 hours in early 2026 to over a thousand years of human-equivalent work by 2032. It explains these figures reflect human-equivalent tas…
Visit originalThis YouTube Moonshots podcast episode features Peter Diamandis, Emad Mostaque, Salim Ismail, Dave Blundin, and Alex Wissner-Gross making 2026 predictions about AI automating knowledge work, autonomous robotics and vehicles, AI solving major math problems, and the possible emergence of single-perso…
Visit originalThis X post by Dr. Alex Wissner-Gross shares a short film titled "A Nation That Learned To Sprint," which was also discussed on the Moonshots podcast. Replies describe the film as profound and reference the "Unclocked" concept about the tension between acceleration and rest, in the context of the b…
Visit originalThis Perplexity page reports that Silicon Valley's AI sector is retreating from aggressive AGI claims following the lukewarm reception of OpenAI's GPT-5. It says leaders including Sam Altman, Andrew Ng, David Sacks, Eric Schmidt, and Yann LeCun have grown more skeptical, describing AGI as overhyped…
Visit originalAn SFist article about prominent Silicon Valley figures, including Sam Altman and Eric Schmidt, increasingly describing the AI boom as a bubble. The page suggests the rush toward AGI may be misguided and notes this concern alongside Meta pausing AI hiring. It is a commentary on growing skepticism a…
Visit originalThis TechRadar article reports that Dr. Ben Goertzel, who helped popularize the term AGI, argues GPT-5 Pro is a remarkable technical achievement but not genuine artificial general intelligence. He says the model's abilities stem from sophisticated pattern matching rather than grounded experience or…
Visit originalThis Medium article claims GPT-5 would arrive in July 2025 and mark a major shift in AI capability, citing a 2024 comment from Sam Altman that GPT-5 would follow GPT-4.5 'in months, not years.' It argues GPT-5 would significantly advance reasoning, multimodal understanding, coding, and autonomous a…
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